Structured GANs

Irad Peleg, Lior Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present Generative Adversarial Networks (GANs), in which the symmetric property of the generated images is controlled. This is obtained through the generator network's architecture, while the training procedure and the loss remain the same. The symmetric GANs are applied to face image synthesis in order to generate novel faces with a varying amount of symmetry. We also present an unsupervised face rotation capability, which is based on the novel notion of one-shot fine tuning.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages719-728
Number of pages10
ISBN (Electronic)9781538648865
DOIs
StatePublished - 3 May 2018
Event18th IEEE Winter Conference on Applications of Computer Vision, WACV 2018 - Lake Tahoe, United States
Duration: 12 Mar 201815 Mar 2018

Publication series

NameProceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018
Volume2018-January

Conference

Conference18th IEEE Winter Conference on Applications of Computer Vision, WACV 2018
Country/TerritoryUnited States
CityLake Tahoe
Period12/03/1815/03/18

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